Evaluating College English Teachers' Teaching by Artificial Neural Network

Abstract

Evaluating college English teachers' teaching quality impartially scientifically is very important for improving English teaching quality and promoting teaching innovation. At present, the evaluating methods of college teaching quality have lots of disadvantages, such as subjectivity, short of impartiality, bad flexibility when meeting an emergency, etc. This article, starting off with evaluating target of our college, establishes an artificial neural network (BP) model of teaching quality, which evaluates college English teachers' teaching quality. It testifies that the model is preferable and possesses powerful adaptability when it is applied to our college English teachers' teaching quality.